Logo image
Back
Validating Lung Models Using the ASL 5000 Breathing Simulator
Journal article

Validating Lung Models Using the ASL 5000 Breathing Simulator

Amanda Dexter, Neil McNinch, Destiny Kaznoch and Teresa A. Volsko
Simulation in healthcare : journal of the Society for Medical Simulation, Vol.13(2), pp.117-123
04/01/2018
DOI: https://doi.org/10.1097/SIH.0000000000000277
PMID: 29346225
Web of Science ID: WOS:000431181300006

Metrics

8 Record Views

Abstract

Objective: This study sought to validate pediatric models with normal and altered pulmonary mechanics. Methods: PubMed and CINAHL databases were searched for studies directly measuring pulmonary mechanics of healthy infants and children, infants with severe bronchopulmonary dysplasia and neuromuscular disease. The ASL 5000 was used to construct models using tidal volume (V-T), inspiratory time (T-I), respiratory rate, resistance, compliance, and esophageal pressure gleaned from literature. Data were collected for a 1-minute period and repeated three times for each model. t tests compared modeled data with data abstracted from the literature. Repeated measures analyses evaluated model performance over multiple iterations. Statistical significance was established at a P value of less than 0.05. Results: Maximumdifferences of means (experimental iterationmean - clinical standard mean) for T-I and V-T are the following: term infant without lung disease (T-I = 0.09 s, V-T = 0.29 mL), severe bronchopulmonary dysplasia (T-I= 0.08 s, V-T = 0.17 mL), child without lung disease (T-I = 0.10 s, V-T = 0.17 mL), and child with neuromuscular disease (T-I= 0.09s, V-T = 0.57 mL). One-sample testing demonstrated statistically significant differences between clinical controls and V-T and T-I values produced by the ASL 5000 for each iteration and model (P < 0.01). The greatest magnitude of differences was negligible (V-T < 1.6%, T-I = 18%) and not clinically relevant. Conclusions: Inconsistencies occurred with the models constructed on the ASL 5000. It was deemed accurate for the study purposes. It is therefore essential to test models and evaluate magnitude of differences before use.

Details

Logo image